Impact Analytics - Senior AI Analyst - Python/Numpy

What lands you in this role :

- Prepare and transform complex datasets using advanced data wrangling, cleansing, and preprocessing techniques to ensure high-quality inputs for AI models, products and analytics.

- Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly.

- Conduct in-depth exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights that inform business and AI model and product development.

- Utilize Python and SQL extensively for data manipulation, querying, and deploying AI-driven analytical models and products.

- Build intuitive dashboards and reports using Excel, Tableau to visualize findings and model outcomes.

- Translate complex machine learning model outputs into clear, data-driven insights for both technical and non-technical stakeholders.

- Collaborate closely with data scientists, engineers, and business teams to integrate AI solutions into operational workflows.

- Contribute to the evaluation, and optimization of statistical models and machine learning algorithms for high-impact business use cases.

- Stay updated on emerging AI trends & technologies, and industry best practices to continuously improve product performance and scalability, and product implementation efficiency.

Required Skills & Qualifications :

- 3 to 6 years of experience in AI analysis, data science, or related fields with a strong foundation in data preprocessing and statistical analysis.

- Proficient in Python (with libraries such as NumPy, Pandas, Scikit-learn) and hands-on experience in complex codebuilding and deployment.

- Advanced proficiency in SQL for handling large-scale datasets efficiently.

Job Description :

- Proficiency in hypothesis testing, descriptive analytics using EDAs and AI/ML techniques, and familiarity with statistical modelling, (e.g., regression, classification,clustering).

- Experience with Excel and Tableau for data visualization and storytelling.

- Strong experience in data wrangling, feature engineering, and pipeline development for large scale datasets.

- Familiarity with cloud platforms, version control (e.g., Git), and collaborative development practices is a plus.

- Exceptional analytical and problem-solving skills with attention to detail.

- Experience with the retail and CPG industry is a plus.

- Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making.